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Glama

run_workflow

Execute a multi-step browser workflow atomically: navigate, click, type, wait, scroll, screenshot, extract, evaluate. Up to 20 steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsYesOrdered list of workflow steps to execute
viewportNo
session_idNo
persist_sessionNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Important behavioral details are missing: the description does not explain atomicity semantics, error handling, session dependencies, or that steps are sequential with no rollback. With no annotations to supplement, the agent is left guessing about side effects and failure behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, using two sentences to state purpose and constrain step count. However, it lacks structure to guide understanding of nested parameters or usage context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the tool's complexity, the description omits return format, error handling, session management, and detailed step configuration. With no output schema and minimal annotations, the description leaves significant gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one of four parameters (steps) has a schema description. The tool description does not elaborate on viewport, session_id, or persist_session, leaving them ambiguous. The step limit is mentioned but not explicitly linked to the steps array parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it executes multi-step browser workflows atomically, listing specific actions (navigate, click, etc.), which gives a concrete understanding. It distinguishes from sibling tools that are single-action tools for scraping, screenshotting, etc., by specifying the orchestration nature and step limit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description lacks explicit guidance on when to use this tool versus siblings. It does not state prerequisites (e.g., session creation) or when to avoid it (e.g., for simple single actions). Usage context is only implied by the feature list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.7/5.0
Disambiguation5/5

Each tool serves a distinct purpose: session management, metadata extraction, AI-powered data extraction, multi-step workflows, content scraping, and screenshot capture. There is no overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with underscores (e.g., create_browser_session, extract_metadata, run_workflow), making it predictable and easy to understand.

Tool Count5/5

With 6 tools, the server covers the essential operations for web scraping and automation: session management, content retrieval, metadata extraction, structured data extraction, screenshots, and complex workflows. The count is well-scoped and not excessive.

Completeness4/5

The tool set covers core scraping tasks comprehensively, including advanced workflow automation. Minor gaps exist, such as no explicit tool for direct cookie manipulation or DOM inspection, but the workflow tool can compensate. Overall, it is sufficiently complete for typical use cases.